Lead Data Engineer, Python, PySpark, AWS

Capital One; McLean (VA); On-site; USD 197,300 - 225,100; Full time

Job summary

Capital One is hiring a Lead Data Engineer in McLean, VA to design, develop, and operate cloud‑based data solutions. You will work with ML, distributed microservices, and full‑stack systems using Python, PySpark, AWS, and leading data warehousing tools.

The role emphasizes collaboration with Agile teams, mentorship, and delivering robust, high‑performant data platforms that empower financial services for millions of customers.

Qualifications

• Bachelor’s Degree.
• At least 4 years of application development experience.
• At least 2 years of big data technologies experience.
• At least 1 year of cloud computing experience (AWS, Azure, or Google Cloud).
• 7+ years of application development with Python, SQL, Scala, or Java.
• 4+ years with a public cloud (AWS, Azure, or Google Cloud).
• 4+ years with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, MySQL).
• 4+ years experience with real‑time data and streaming applications.
• 4+ years with NoSQL (Mongo, Cassandra).
• 4+ years data warehousing experience (Redshift or Snowflake).
• 2+ years with Agile engineering practices.

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support solutions.
• Work with developers in ML, distributed microservices, and full‑stack systems.
• Utilize Python, SQL, Scala, Java and data warehousing in cloud environments.
• Mentor engineers and stay current with tech trends and communities.
• Partner with product managers to deliver cloud‑based customer experiences.
• Perform unit tests and code reviews for well‑designed, performant code.

Skills

Python

SQL

Scala

Java

Spark

Education

Bachelor's Degree

Tools

Hive

EMR

MapReduce

Hadoop

Kafka

Gurobi

MySQL

Redshift

Snowflake

Job description

Lead Data Engineer (Python, PySpark, AWS)

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast‑paced, collaborative, inclusive, and iterative delivery environment?

What You’ll Do:

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full‑stack development tools and technologies.
• Work with a team of developers with deep experience in machine learning, distributed microservices, and full‑stack systems.
• Utilize programming languages such as Java, Scala, Python, and open‑source RDBMS and NoSQL databases, as well as cloud‑based data warehousing services such as Redshift and Snowflake.
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal and external technology communities, and mentoring other members of the engineering community.
• Collaborate with digital product managers and deliver robust cloud‑based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance.

Basic Qualifications:

• Bachelor’s Degree.
• At least 4 years of experience in application development (internship experience does not apply).
• At least 2 years of experience in big data technologies.
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud).

Preferred Qualifications:

• 7+ years of experience in application development including Python, SQL, Scala, or Java.
• 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud).
• 4+ years experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
• 4+ years experience working on real‑time data and streaming applications.
• 4+ years of experience with NoSQL implementation (Mongo, Cassandra).
• 4+ years of data warehousing experience (Redshift or Snowflake).
• 4+ years of experience with UNIX/Linux including basic commands and shell scripting.
• 2+ years of experience with Agile engineering practices.
• Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion.

Immigration and Sponsorship: At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F‑1 OPT, etc.).

Compensation: The minimum and maximum full‑time annual salaries for this role are listed below, by location.

• McLean, VA: $197,300 - $225,100 for Lead Data Engineer.
• Richmond, VA: $179,400 - $204,700 for Lead Data Engineer.

Eligible to earn performance‑based incentive compensation, including cash bonus(es) and/or long‑term incentives (LTI).

Benefits: Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being.

CapitalOne is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace.

This role is expected to accept applications for a minimum of 5 business days. No agencies please.